Adaptive Learning Market Size Worth USD 9.11 Billion in 2028- Emergen Research

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Explore the future of the Adaptive Learning Market, which is poised for significant growth as demand for personalized and adaptive learning solutions continues to increase across the education sector.

The global adaptive learning market size reached USD 1.86 Billion in 2020 and is expected to register a CAGR of 22.2%, during the forecast period, according to latest analysis by Emergen Research. Adaptive learning is a type of educational technology that tailors the learning process for each individual learner using algorithms and data analysis. It uses artificial intelligence to identify a student's areas of strength and weakness and then offers specialised information and feedback to enhance learning outcomes. The desire for personalised learning is rising, and the use of digital learning solutions in the educational space is fueling this growth.

The demand for personalised learning experiences is one of the main factors driving the adaptive learning industry. Students are looking for individualised training that fits their unique requirements and learning preferences as education becomes more digital. In order to accommodate this demand, adaptive learning technology offers individualised feedback and content that is catered to the strengths and limitations of each learner. Better learning results, greater engagement, and higher retention rates may result from this.

The growing usage of digital learning solutions in the education sector is another major factor driving the market for adaptive learning. Many educational institutions are investing in digital technology to facilitate remote and flexible learning as a result of the COVID-19 epidemic, which has hastened the shift towards online and hybrid learning. In this setting, adaptive learning solutions are ideal because they enable students to receive individualised instruction and feedback regardless of their location or device.

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The market for adaptive learning, however, nevertheless confronts a number of obstacles and limitations. The absence of data and standardisation in the education industry is one of the major problems. Algorithms for adaptive learning need a lot of data on student performance and learning outcomes in order to be effective. However, it can be challenging to analyse and comprehend this data because it is frequently dispersed across numerous platforms and systems. Additionally, there is a lack of standardisation in the collection and analysis of educational data, which might make it difficult to create efficient adaptive learning algorithms.

The high cost of implementation and maintenance is another barrier to the market for adaptive learning. Investments in employee training, data infrastructure, and technology are major requirements for adaptive learning systems. The algorithms and models employed in adaptive learning also need constant upkeep and improvement to guarantee their accuracy and efficacy.

The market for adaptive learning is expanding as a result of the involvement of governmental organisations. For instance, the U.S. Department of Education has started a number of projects to encourage the creation and use of adaptive learning technologies. One of these projects is the Open Educational Resources for Adaptive Learning (ALOER) project, which seeks to encourage the adoption of open-source adaptive learning systems in higher education.

Adaptive Learning Market Segmentation:

The global adaptive learning market has been segmented by Emergen Research based on deployment, component, end-use, and region. In terms of deployment, the market has been divided into cloud and on-premises. The cloud segment is expected to witness significant growth during the forecast period, driven by the increasing adoption of cloud-based solutions in the education sector. Cloud-based solutions offer greater flexibility, scalability, and accessibility, making them well-suited to the needs of educational institutions and learners.

Based on component, the adaptive learning market has been categorized into services and platform. The services segment is expected to dominate the market during the forecast period, due to the high demand for training, consulting, and support services. Adaptive learning solutions require significant expertise and resources to implement and maintain, and many educational institutions rely on service providers for these services.

The end-use segment of the adaptive learning market includes enterprise and academic. The academic segment is expected to hold the largest share of the market during the forecast period, driven by the increasing adoption of digital learning solutions in schools, colleges, and universities. Adaptive learning solutions can help improve student engagement, retention, and outcomes, making them an attractive option for educational institutions seeking to enhance their offerings.

The report also provides a regional analysis of the market, with a focus on North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

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Some Key Highlights From the Report

  • Cloud segment revenue is expected to expand at a significant CAGR during the forecast period due to the increasing adoption of cloud-based solutions in the education sector. Cloud-based solutions offer several advantages over traditional on-premises solutions, including greater flexibility, scalability, and accessibility. Cloud-based adaptive learning solutions can be accessed from anywhere, at any time, and on any device, making them well-suited to the needs of educational institutions and learners.
  • In terms of revenue share, the platform segment is expected to lead over the forecast period due to the increasing demand for advanced technologies and features in adaptive learning solutions. The platform segment includes software and tools that are used to deliver and manage adaptive learning content and assessments. Adaptive learning platforms can offer a range of features, including personalized learning paths, real-time feedback and analytics, and integration with other educational technologies.
  • The North American region has been at the forefront of the adoption of digital learning solutions, and many educational institutions in the region have already implemented adaptive learning solutions to enhance their offerings. In addition, the region is home to several leading adaptive learning solution providers, which have been driving innovation and development in the market.
  • Key players in the market include Pearson plc, McGraw Hill Education, John Wiley & Sons, Inc., Area9 Lyceum ApS, Cog Books Ltd., Curriculum Associates, Inc., Dream Box Learning, Inc., Follett Corporation, Cerego, Inc., and Realizeit
  • The academic sector is anticipated to dominate in terms of revenue contribution to the global adaptive learning market during the projected period due to the rising adoption of adaptive learning platforms and services in academic settings.
  • John Wiley & Sons, Inc. purchased Knewton, Inc. in May 2019. With the help of this acquisition, Wiley will be better equipped to compete in the market for adaptive learning and reach a bigger audience with its e-Content.

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About Us: Emergen Research is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyze consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trend's existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.

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